Computed Tomography: Technological Developments, Methods and Applications
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: closed (20 June 2024) | Viewed by 1507
Special Issue Editors
Interests: tomography; inverse problems; high-performance computing
Interests: X-ray imaging; synchrotron tomography; software development for beamline controls and image processing
Special Issue Information
Dear Colleagues,
The Special Issue provides a comprehensive overview of the evolving landscape of computed tomography (CT), highlighting recent advancements in technology, methodological innovations and varied applications. As such, works pushing the boundaries of CT technology, emphasizing improvements in image resolution, acquisition speed and diagnostic precision will be particularly welcome. The Special Issue extends a specific invitation for contributions focusing on innovative methodologies, including advancements in image reconstruction, segmentation and informative 3D visualization strategies. Authors are encouraged to provide a balanced synthesis of theoretical insights and practical applications. Moreover, the Special Issue aims to reveal the broader range of applications for CT, encompassing traditional fields such as biomedical imaging, as well as emerging domains such as industrial inspection, material science and geology. Researchers are invited to share their findings, case studies and practical implementations, offering valuable perspectives on the versatile applications of CT. This Special Issue will serve as a crucial platform for researchers, engineers and practitioners to contribute to and stay informed about the latest developments in CT, fostering collaboration and knowledge exchange in this dynamic and rapidly advancing field.
Dr. Viktor Nikitin
Dr. Francesco De Carlo
Dr. Rajmund Mokso
Guest Editors
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Keywords
- computed tomography
- imaging methods
- reconstruction techniques
- image segmentation
- 3D visualization
- diagnostic techniques
- biomedical imaging
- geological tomography
- non-destructive analysis
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